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<!DOCTYPE html>

<head>

<title>DataCamp.utf8</title>

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<a class="navbar-brand" href="index.html">GEO 503: Spatial Data Science</a>

</div>

<li>

</li>

<li>

<a href="Syllabus.html">Syllabus</a>

</li>

<li>

<a href="Schedule.html">Schedule</a>

</li>

Content

</a>

<li>

<a href="CourseContent.html">About Course Content</a>

</li>

<li class="dropdown-header">Module 1: Introduction to R</li>

<li>

<a href="00_CourseIntroductionFrame.html">00 Course Introduction</a>

</li>

<li>

<a href="01_Rintro.html">01 First Steps</a>

</li>

<li>

<a href="02_graphics.html">02 Graphics</a>

</li>

<li>

<a href="03_DataWrangling.html">03 Data Wrangling</a>

</li>

<li>

<a href="03b_DataWrangling.html">03 Data Wrangling 2</a>

</li>

<li class="dropdown-header">Module 2: Spatial Analyses</li>

<li>

<a href="04_Spatial_with_sf.html">04 Spatial Data with sf</a>

</li>

<li>

<a href="05_Raster.html">05 Spatial Raster Data</a>

</li>

<li class="dropdown-header">Module 3: Advanced Programming</li>

<li>

<a href="06_CreatingWorkflows.html">06 Creating Workflows</a>

</li>

<li>

<a href="07_Reproducibile.html">07 Reproducible Research</a>

</li>

<li>

<a href="08_WeatherData.html">08 Weather Data Processing</a>

</li>

<li>

<a href="09_RemoteSensing_appeears.html">09 Satellite Data Processing</a>

</li>

<li>

<a href="11_ParallelProcessing.html">11 Parallel Processing</a>

</li>

<li>

<a href="12_DynamicVisualization.html">12 Dynamic Visualization</a>

</li>

<li>

<a href="13_SDM_Exercise.html">13 Species Distribution Modeling</a>

</li>

</ul>

</li>

Assignments

</a>

<li>

</li>

<li>

<a href="DataCamp.html">DataCamp</a>

</li>

<li>

<a href="PackageIntro.html">Package Introduction</a>

</li>

<li>

<a href="Project.html">Final Project</a>

</li>

</ul>

</li>

Resources

</a>

<li>

<a href="Provenance.html">Provenance</a>

</li>

<li>

<a href="Projects_2018.html">2018 Project Drafts</a>

</li>

<li>

<a href="Projects_2017.html">2017 Final Projects</a>

</li>

<li>

<a href="GitSSHNotes.html">Setting up Github</a>

</li>

</ul>

</li>

</ul>

<li>

</a>

</li>

</ul>

</div>

</div>

</div>

</div>

<p>DataCamp offers interactive R, Python, Sheets, SQL and shell courses on topics in data science, statistics and machine learning. You can learn from a team of expert teachers in the comfort of your browser with video lessons and fun coding challenges and projects.</p>

<h2>DataCamp in this course</h2>

<p>As a student in this course, you will receive a six month subscription to DataCamp’s ‘premium’ materials. We will use DataCamp to reinforce your learning <em>and</em> assess your development. Throughout the semester, various chapters/courses will be assigned via DataCamp. You must complete the assigned chapters by the due dates designated in your <a href="https://www.datacamp.com/enterprise/spatial-data-science">DataCamp ‘classroom’</a>.</p>

<p>See <a href="Syllabus.html">Syllabus for more information.</a></p>

</div>

<h2>Additional recommended DataCamp courses</h2>

<p>The courses listed below are optional (if not assigned in your <a href="https://www.datacamp.com/enterprise/spatial-data-science">classroom</a>) but you may find them useful to further your own developemnt (or even to work on your final project in this or other courses).</p>

<p>See all the <a href="https://www.datacamp.com/courses">available courses in DataCamp here.</a>.</p>

<h3>Foundational Skills</h3>

<ul>

<li><a href="https://www.datacamp.com/courses/working-with-the-rstudio-ide-part-1">Working with the RStudio IDE (Part 1)</a></li>

<li><a href="https://www.datacamp.com/courses/working-with-the-rstudio-ide-part-2">Working with the RStudio IDE (Part 2)</a></li>

<li><a href="https://www.datacamp.com/courses/free-introduction-to-r">Introduction to R</a></li>

</ul>

</div>

<h3>Data Wrangling</h3>

<ul>

<li><a href="https://www.datacamp.com/courses/importing-data-in-r-part-1">Importing Data in R (Part 1)</a></li>

<li><a href="https://www.datacamp.com/courses/importing-data-in-r-part-2">Importing Data in R (Part 2)</a></li>

<li><a href="https://www.datacamp.com/courses/cleaning-data-in-r">Cleaning Data in R</a></li>

<li><a href="https://www.datacamp.com/courses/importing-cleaning-data-in-r-case-studies">Importing & Cleaning Data in R: Case Studies</a></li>

<li><a href="https://www.datacamp.com/courses/introduction-to-the-tidyverse">Introduction to the tidyverse</a></li>

</ul>

</div>

<h3>Modeling</h3>

<ul>

<li><a href="https://www.datacamp.com/courses/exploratory-data-analysis-in-r-case-study">Exploratory Data Analysis in R: Case Study</a></li>

<li><a href="https://www.datacamp.com/courses/statistical-modeling-in-r-part-1">Statistical Modeling in R (Part 1)</a></li>

<li><a href="https://www.datacamp.com/courses/statistical-modeling-in-r-part-2">Statistical Modeling in R (Part 2)</a></li>

</ul>

</div>

<h3>Spatial Analyses and Networks</h3>

<ul>

<li><a href="https://www.datacamp.com/courses/working-with-geospatial-data-in-r">Working with Geospatial Data in R</a> (uses the older <code>sp</code> package instead of <code>sf</code>)</li>

<li><a href="https://www.datacamp.com/courses/spatial-analysis-in-r-with-sf-and-raster">Spatial Analysis in R with sf and raster</a></li>

<li><a href="https://www.datacamp.com/courses/spatial-statistics-in-r">Spatial Statistics in R</a></li>

<li><a href="https://www.datacamp.com/courses/network-science-in-r-a-tidy-approach">Network Science in R - A Tidy Approach</a></li>

<li><a href="https://www.datacamp.com/courses/interactive-maps-with-leaflet-in-r">Interactive Maps with leaflet in R</a></li>

</ul>

</div>

<h3>Visualization & Communication</h3>

<ul>

<li><a href="https://www.datacamp.com/courses/data-visualization-with-ggplot2-1">Data Visualization with ggplot2 (Part 1)</a></li>

<li><a href="https://www.datacamp.com/courses/data-visualization-with-ggplot2-2">Data Visualization with ggplot2 (Part 2)</a></li>

<li><a href="https://www.datacamp.com/courses/data-visualization-with-ggplot2-3">Data Visualization with ggplot2 (Part 3)</a></li>

<li><a href="https://www.datacamp.com/courses/visualizing-time-series-data-in-r">Visualizing Time Series Data in R</a></li>

<li><a href="https://www.datacamp.com/courses/reporting-with-r-markdown">Reporting with R Markdown</a></li>

<li><a href="https://www.datacamp.com/courses/communicating-with-data-in-the-tidyverse">Communicating with Data in the Tidyverse</a></li>

</ul>

</div>

<h2>DataCamp Certification</h2>

<p>DataCamp is a respected source of online courses in data science topics. After you complete a DataCamp “course”", you can <a href="https://support.datacamp.com/hc/en-us/articles/360005885114-Where-can-I-download-the-certificates-">download certificates</a> or post <a href="https://support.datacamp.com/hc/en-us/articles/360001548814-How-can-I-share-my-certificate-Statement-of-Accomplishment-">certified skills to your LinkedIn page</a>. You could also potentially add the courses you complete to your CV.</p>

</div>

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